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What is this?
A collection of example code and guides for accomplishing common tasks with the OpenAI API, covering things like prompting, embeddings, function calling, and retrieval.
A collection of example code and guides for accomplishing common tasks with the OpenAI API, covering things like prompting, embeddings, function calling, and retrieval.Is this a library or a set of example notebooks?It's a cookbook of standalone Jupyter notebooks and guides, not an installable library or framework.
It's a cookbook of standalone Jupyter notebooks and guides, not an installable library or framework.How do I run the examples?Clone the repo and open the notebooks; most examples are written in Python and run in Jupyter or an IDE like VS Code.
Clone the repo and open the notebooks; most examples are written in Python and run in Jupyter or an IDE like VS Code.Do I need an OpenAI API key?Yes, you need an OpenAI account and API key, set via the OPENAI_API_KEY environment variable or a local .env file.
Yes, you need an OpenAI account and API key, set via the OPENAI_API_KEY environment variable or a local .env file.Is there a browsable version instead of digging through notebooks?Yes, the cookbook is also published as a browsable website for easier navigation.
Yes, the cookbook is also published as a browsable website for easier navigation.Are the examples limited to Python?Most are written in Python, but the underlying concepts and API calls can be applied in any programming language.
Most are written in Python, but the underlying concepts and API calls can be applied in any programming language.What kind of tasks do the examples cover?Common tasks with the OpenAI API such as prompting techniques, embeddings, and other integration patterns, organized as individual notebooks.
Common tasks with the OpenAI API such as prompting techniques, embeddings, and other integration patterns, organized as individual notebooks.Does the repo point to other resources beyond its own examples?Yes, it links out to related tools, guides, and courses from around the web for further learning.
Yes, it links out to related tools, guides, and courses from around the web for further learning.What are similar projects?Prompt-Engineering-Guide, claude-cookbooks, awesome-chatgpt-zh, generative-ai-for-beginners, Hello-Python, gpt4free, chatgpt-retrieval-plugin, gorilla
Prompt-Engineering-Guide, claude-cookbooks, awesome-chatgpt-zh, generative-ai-for-beginners, Hello-Python, gpt4free, chatgpt-retrieval-plugin, gorillaWhich topics is it in?embedding, function-calling, gpt-4, openai-api, examples, jupyter notebook, chatgpt, prompt-engineering, rag, guide, documentation, openai
embedding, function-calling, gpt-4, openai-api, examples, jupyter notebook, chatgpt, prompt-engineering, rag, guide, documentation, openai